Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Ting Fang Tan"'
Autor:
Jie Yao, Joshua Lim, Gilbert Yong San Lim, Jasmine Chiat Ling Ong, Yuhe Ke, Ting Fang Tan, Tien-En Tan, Stela Vujosevic, Daniel Shu Wei Ting
Publikováno v:
Eye and Vision, Vol 11, Iss 1, Pp 1-12 (2024)
Abstract Background Diabetic retinopathy (DR) and diabetic macular edema (DME) are major causes of visual impairment that challenge global vision health. New strategies are needed to tackle these growing global health problems, and the integration of
Externí odkaz:
https://doaj.org/article/f90c48453c8a4315bade11bceb2eed86
Autor:
Ting Fang Tan, Chun Lin Yap, Claire L. Peterson, Damon Wong, Tien Yin Wong, Chui Ming Gemmy Cheung, Leopold Schmetterer, Anna Cheng Sim Tan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The objective of this study is to define structure–function relationships of pathological lesions related to age-related macular degeneration (AMD) using microperimetry and multimodal retinal imaging. We conducted a cross-sectional study o
Externí odkaz:
https://doaj.org/article/e7213f2e08c548a59c05b564b7ab0254
Autor:
Arun James Thirunavukarasu, Kabilan Elangovan, Laura Gutierrez, Refaat Hassan, Yong Li, Ting Fang Tan, Haoran Cheng, Zhen Ling Teo, Gilbert Lim, Daniel Shu Wei Ting
Publikováno v:
Annals, Academy of Medicine, Singapore, Vol 53, Iss 3, Pp 187-207 (2024)
Introduction: Automated machine learning (autoML) removes technical and technological barriers to building artificial intelligence models. We aimed to summarise the clinical applications of autoML, assess the capabilities of utilised platforms, evalu
Externí odkaz:
https://doaj.org/article/44a8225cae8b421a9c448e0433590113
Autor:
Joshua Yi Min Tung, Sunil Ravinder Gill, Gerald Gui Ren Sng, Daniel Yan Zheng Lim, Yuhe Ke, Ting Fang Tan, Liyuan Jin, Kabilan Elangovan, Jasmine Chiat Ling Ong, Hairil Rizal Abdullah, Daniel Shu Wei Ting, Tsung Wen Chong
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e57721 (2024)
BackgroundDischarge letters are a critical component in the continuity of care between specialists and primary care providers. However, these letters are time-consuming to write, underprioritized in comparison to direct clinical care, and are often t
Externí odkaz:
https://doaj.org/article/e9a29332203f4304b78183f5b17d4038
Autor:
Yong Li, Dinesh Visva Gunasekeran, Narrendar RaviChandran, Ting Fang Tan, Jasmine Chiat Ling Ong, Arun James Thirunavukarasu, Bryce W. Polascik, Ranya Habash, Khizer Khaderi, Daniel S.W. Ting
Publikováno v:
Biomedical Journal, Vol 47, Iss 3, Pp 100679- (2024)
The Metaverse has gained wide attention for being the application interface for the next generation of Internet. The potential of the Metaverse is growing, as Web 3·0 development and adoption continues to advance medicine and healthcare. We define t
Externí odkaz:
https://doaj.org/article/1aac5919d8b444519aa8ca36ac5b387e
Autor:
Arun James Thirunavukarasu, Shathar Mahmood, Andrew Malem, William Paul Foster, Rohan Sanghera, Refaat Hassan, Sean Zhou, Shiao Wei Wong, Yee Ling Wong, Yu Jeat Chong, Abdullah Shakeel, Yin-Hsi Chang, Benjamin Kye Jyn Tan, Nikhil Jain, Ting Fang Tan, Saaeha Rauz, Daniel Shu Wei Ting, Darren Shu Jeng Ting
Publikováno v:
PLOS Digital Health, Vol 3, Iss 4, p e0000341 (2024)
Large language models (LLMs) underlie remarkable recent advanced in natural language processing, and they are beginning to be applied in clinical contexts. We aimed to evaluate the clinical potential of state-of-the-art LLMs in ophthalmology using a
Externí odkaz:
https://doaj.org/article/b738a48fad3d4c579d6d3cbccc773adb
Autor:
Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Narrendar RaviChandran, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-6 (2023)
Abstract Artificial intelligence (AI) has demonstrated the ability to extract insights from data, but the fairness of such data-driven insights remains a concern in high-stakes fields. Despite extensive developments, issues of AI fairness in clinical
Externí odkaz:
https://doaj.org/article/db363943b02a41c78b3964128c446b51
Publikováno v:
Health Care Science, Vol 2, Iss 4, Pp 255-263 (2023)
Abstract Recently, the emergence of ChatGPT, an artificial intelligence chatbot developed by OpenAI, has attracted significant attention due to its exceptional language comprehension and content generation capabilities, highlighting the immense poten
Externí odkaz:
https://doaj.org/article/ea9e394cc4a1469d9c9e59eb9b54ef5f
Autor:
Ting Fang Tan, MBBS, Arun James Thirunavukarasu, BA MB, BChir (Cantab), J. Peter Campbell, MD, MPH, Pearse A. Keane, MD, FRCOphth, Louis R. Pasquale, MD, FARVO, Michael D. Abramoff, MD, PhD, Jayashree Kalpathy-Cramer, PhD, Flora Lum, MD, Judy E. Kim, MD, FARVO, Sally L. Baxter, MD, MSc, Daniel Shu Wei Ting, MD, PhD
Publikováno v:
Ophthalmology Science, Vol 3, Iss 4, Pp 100394- (2023)
The rapid progress of large language models (LLMs) driving generative artificial intelligence applications heralds the potential of opportunities in health care. We conducted a review up to April 2023 on Google Scholar, Embase, MEDLINE, and Scopus us
Externí odkaz:
https://doaj.org/article/b1a869c7ddda477ea610000e433132d7
Publikováno v:
International Journal of Retina and Vitreous, Vol 9, Iss 1, Pp 1-5 (2023)
Abstract Color vision deficiency impairs one’s ability to perceive and discriminate colors. Color-deficient individuals may face discrimination in various occupations, particularly in medical school admissions. This discussion seeks to compare the
Externí odkaz:
https://doaj.org/article/89ca35e4d2ad4c9592f0c2cc8bf011c2